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Model limitations and parameter-estimation methods for agricultural applications of polarimetric SAR interferometry / Juan M. Lopez-Sanchez in IEEE Transactions on geoscience and remote sensing, vol 45 n° 11 Tome 1 (November 2007)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 45 n° 11 Tome 1 (November 2007) . - pp 3481 - 3493 Titre : Model limitations and parameter-estimation methods for agricultural applications of polarimetric SAR interferometry Type de document : Article/Communication Auteurs : Juan M. Lopez-Sanchez, Auteur ; J.D. Ballestar-Berman, Auteur ; Y. Marquez-Moreno, Auteur Année de publication : 2007 Article en page(s) : pp 3481 - 3493 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] agriculture [Termes IGN] analyse comparative [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] polarimétrie radar [Termes IGN] précision des données Résumé : (Auteur) Application of polarimetric synthetic aperture radar interferometry to the retrieval of geophysical parameters from yegetated scenes is based on simple direct models of such scenes. The first part of this paper presents an analysis of the correspon-dence between these simple models, namely, the random volume over ground and the oriented volume over ground (OVoG), and experimental data from samples of two agricultural crops (maize and rice) acquired in controlled conditions. Although an overall agreement between model and data is clear, some discrepancies have been found as a consequence of two assumptions in the model formulation: vertical homogeneity of the vegetation volume and absence of multiple scattering effects inside the volume. This paper presents the shape and location of the visible region of the experimental coherences on the complex plane and compares it with the feasible region predicted by the model. This comparison has also pointed out the low sensitivity of the direct model to extinction coefficients. In the second part, two different strategies for a complete inversion (i.e., estimation of all model parameters) of the OVoG model are proposed and compared, using the same data set. The first one is based on a combination of geometrical and numerical approaches (genetic algorithms) and the second one on a dual-baseline configuration. In all cases, ground topography is accurately estimated, with a maximum error of 10 cm. Vegetation height estimates are accurate up to 30 cm, with some bands and baseline configurations providing errors below 15 cm. However, results obtained for the extinction coefficients are not stable with frequency and exhibit high variability. Copyright IEEE Numéro de notice : A2007-505 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2007.900690 En ligne : https://doi.org/10.1109/TGRS.2007.900690 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28868 [article]

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